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Submitted: 13 Sep 2020
Revision: 06 Nov 2020
Accepted: 09 Nov 2020
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  Abstract View: 26

Review Article

A systematic review on the use of artificial intelligence techniques in the diagnosis of COVID-19 from Chest X-ray images

Mohammad Hosein Sadeghi ORCID logo, Hamid Omidi ORCID logo, Sedigheh Sina* ORCID logo

Abstract

Introduction: In this study, the Artificial intelligence (AI) techniques, used for the detection of COVID-19 from the Chest X-ray are reviewed.
Methods: PubMed, arXiv, and Google scholar were used to search for Artificial intelligence (AI) studies.
Results: 20 papers were extracted from Google Scholar, 14 from arXiv, and 5 from PubMed. 17 papers used publicly available datasets and 3 papers used independent datasets. 10 papers disclosed source codes. 9 papers were about creating a novel Artificial intelligence (AI) deep learning software; 8 papers reported the modification of the existing AI models, and 3 compared to the performance of the existing AI software programs. All papers have used deep learning as AI technique. Most papers reported accuracy, specificity and sensitivity of the models, and also the area under the curve (AUC) for investigation of the model performance for the prediction of COVID-19. Nine papers reported accuracy, sensitivity, and specificity. The number of datasets used in the studies ranged from 50 to 94323. The accuracy, sensitivity, and specific of the models were between 0.88 to 0.98, 0.80 to 1.00, and 0.70 to 1.00 respectively.
Conclusion: The studies revealed that Artificial intelligence can help human in fighting the new Corona virus.
Keywords: COVID-19, Artificial Intelligence, Chest X-ray Images,
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